<h4>Tool</h4><table border="0"><tr><td valign="top"><b>Name</b></td><td valign="top">Cluster Analysis for Point Clouds</td></tr><tr><td valign="top"><b>ID</b></td><td valign="top">11</td></tr><tr><td valign="top"><b>Author</b></td><td valign="top">Volker Wichmann (c) 2010, LASERDATA GmbH</td></tr></table><hr><h4>Description</h4>Cluster analysis for point clouds.

References:

This tool is a port of the 'Cluster Analysis for Grids' tool from the 'Imagery - Classification' tool library, Copyright (C) 2003 by Olaf Conrad.

Iterative Minimum Distance:
- Forgy, E. (1965):
  'Cluster Analysis of multivariate data: efficiency vs. interpretability of classifications',
  Biometrics 21:768

Hill-Climbing:- Rubin, J. (1967):
  'Optimal Classification into Groups: An Approach for Solving the Taxonomy Problem',
  J. Theoretical Biology, 15:103-144

<hr><h4>Parameters</h4><table border="1" width="100%" valign="top" cellpadding="5" rules="all"><tr><th>Name</th><th>Type</th><th>Identifier</th><th>Description</th><th>Constraints</th></tr>
<tr><th colspan="5">Input</th></tr><tr><td>Point Cloud </td><td>Point Cloud (input)</td><td>PC_IN</td><td>Input</td><td></td></tr><tr><th colspan="5">Output</th></tr><tr><td>Result (*)</td><td>Point Cloud (optional output)</td><td>PC_OUT</td><td>Output</td><td></td></tr><tr><td>Statistics</td><td>Table (output)</td><td>STATISTICS</td><td></td><td></td></tr><tr><th colspan="5">Options</th></tr><tr><td>Attributes</td><td>Table fields</td><td>FIELDS</td><td>The attribute fields to cluster</td><td></td></tr><tr><td>Method</td><td>Choice</td><td>METHOD</td><td></td><td>Available Choices:
[0] Iterative Minimum Distance (Forgy 1965)
[1] Hill-Climbing (Rubin 1967)
[2] Combined Minimum Distance / Hillclimbing
Default: 1</td></tr><tr><td>Clusters</td><td>Integer</td><td>NCLUSTER</td><td>Number of clusters</td><td>Minimum: 2
Default: 10</td></tr><tr><td>Normalise</td><td>Boolean</td><td>NORMALISE</td><td>Automatically normalise attributes by standard deviation before clustering.</td><td>Default: 1</td></tr></table>(*) <i>optional</i>